ENH: show dtype in array repr when endianness is non-native (#23295)

Fx problem where, for example,

np.array([1], dtype='>u2') and np.array([1], dtype='<u2')

both got represented as np.array([1], dtype=uint16), or the dtype is not shown for the default ones (float64, default int).

1 files changed, 9 insertions, 1 deletions

diff --git a/numpy/core/arrayprint.py b/numpy/core/arrayprint.py
index a243366b7..dcfb6e6a8 100644
--- a/numpy/core/arrayprint.py
+++ b/numpy/core/arrayprint.py
@@ -1428,6 +1428,10 @@ def dtype_is_implied(dtype):
     # not just void types can be structured, and names are not part of the repr
     if dtype.names is not None:
         return False
+    
+    # should care about endianness *unless size is 1* (e.g., int8, bool)
+    if not dtype.isnative:
+        return False
 
     return dtype.type in _typelessdata
 
@@ -1453,10 +1457,14 @@ def dtype_short_repr(dtype):
         return "'%s'" % str(dtype)
 
     typename = dtype.name
+    if not dtype.isnative:
+        # deal with cases like dtype('<u2') that are identical to an
+        # established dtype (in this case uint16)
+        # except that they have a different endianness.
+        return "'%s'" % str(dtype)
     # quote typenames which can't be represented as python variable names
     if typename and not (typename[0].isalpha() and typename.isalnum()):
         typename = repr(typename)
-
     return typename